code: def tokenize(self, text):
      results = self.__lac.lexical_analysis(
          texts=[text], use_gpu=False, batch_size=1, return_tag=True
      )
      # Change English words to lower case.
      # And just preserve the word in vocab.
      words = results[0]["word"]
      result = []
      for word in words:
          word = word.lower()
          if word in self.__vocab:
              result.append(word)
      return result
  
file_path: PaddleHub/modules/text/language_model/lda_news/tokenizer.py
label_desc: Use image node_id 3 for calling the LACTokenizer obj's underlying member method code with example usage: obj.tokenize(text) and returns: result